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In den WarenkorbZustand: New. pp. xii + 233 Illus.
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbGebunden. Zustand: New. Balaji Narasimhan, PHD, is a Professor in the Department of Chemical and Biological Engineering and Director of the Institute for Combinatorial Discovery at Iowa State University. Surya K. Mallapragada, PHD, is a Professor of Chemical and Biological Enginee.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 233 pages. 9.75x6.50x0.75 inches. In Stock.
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In den WarenkorbZustand: New. This book describes new developments and research results in catalysts, biomaterials, and nanomaterials, and informatics approaches to analyze CombiSci data and:* Integrates the scientific fundamentals required to develop and apply CombiSci concepts to areas of National Need in materials. Editor(s): Narasimhan, Balaji; Mallapragada, Surya. Num Pages: 248 pages, Illustrations. BIC Classification: TGM. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 17. Weight in Grams: 484. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Buch. Zustand: Neu. Neuware - Combinatorial methods and advanced informatics expedite analysis and discoveryThis reference describes new developments and research results in catalysts, biomaterials, and nanomaterials, together with informatics approaches to the analysis of Combinatorial Science (CombiSci) data. CombiSci has been used extensively in the pharmaceutical industry, but there is enormous potential in its application to materials design and characterization. Addressing advances and applications in both fields, Combinatorial Materials Science:\*Integrates the scientific fundamentals and interdisciplinary underpinnings required to develop and apply CombiSci concepts\*Discusses the development and use of CombiSci for the systematic and accelerated investigation of new phenomena and of the complex structure-function interplay in materials\*Covers the development of new library design strategies for materials processing and for high-throughput tools for rapid sampling\*Uses a unique, unified approach of applying combinatorial methods to unravel the non-linear structure-function relationships in diverse materials (both hard and soft), together with advances in informaticsWith chapters written by leading researchers in their specialty areas, this authoritative guide is a must-have resource for scientists and engineers in materials science research, biochemists, chemists, immunologists, cell biologists, polymer scientists, chemical and mechanical engineers, statisticians, and computer scientists. It is also a great text for graduate-level courses in materials science/engineering, polymer science, chemical engineering, and chemistry.